Senior Business Data Scientist, Forecasting, Google Cloud

In this role, you will develop and maintain forecasting models that predict customer support case volume. Your work will directly inform staffing, budgeting, and planning decisions, enabling the delivery of exceptional customer support at scale.

• Develop, deploy, and maintain time series forecasting models to predict customer support case volumes across various products, regions, and channels.
• Build and automate scalable data pipelines to ensure timely and reliable data for model training and inference.
• Monitor and evaluate model performance continuously, tracking key accuracy metrics, identifying model drift, and ensuring forecast reliability, and researching and implementing forecast techniques to continuously improve model accuracy and capabilities.

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 4 years of experience in data science with a focus on time series analysis and forecasting.
• Experience with Python or R programming with relevant forecasting libraries.

• Bonus
• Equity
• Benefits

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.